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A decision approach to determine optimal service and quality levels in large‐scale, publicly shared systems
Author(s) -
Hoehn William K.,
Duan Jimmy
Publication year - 1998
Publication title -
systems engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.474
H-Index - 50
eISSN - 1520-6858
pISSN - 1098-1241
DOI - 10.1002/(sici)1520-6858(1998)1:3<149::aid-sys1>3.0.co;2-l
Subject(s) - computer science , software deployment , scale (ratio) , function (biology) , quality (philosophy) , quality function deployment , risk analysis (engineering) , process (computing) , decision support system , operations research , system deployment , systems engineering , reliability engineering , distributed computing , engineering , software engineering , data mining , operations management , medicine , philosophy , physics , value engineering , epistemology , quantum mechanics , evolutionary biology , biology , operating system
This paper presents an Integrated Decision Approach formitigating the problems associated with the development oflarge‐scale, publicly shared systems. This approach couples QualityFunction Deployment, elements of the Systems Engineering Process,a centralized or decentralized decision mechanism, and an ongoingperformance measurement system. The approach can be applied duringconceptual design to eliminate system design solutions that proveto be deficient and/or provide excess capacity. A hypotheticalexample consisting of a simplified network communication system ispresented to illustrate a complete application of the approach.This research shows that the Integrated Decision Approach can beused to resolve certain decision problems that involve publiclyshared systems as effectively as the best of the centralizedmechanisms but with less time and analysis required. © 1998John Wiley & Sons, Inc. Syst Eng 1: 149–158, 1998